风能数字化面临的重大挑战

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Wind Energy Science Pub Date : 2023-06-07 DOI:10.5194/wes-8-947-2023
A. Clifton, S. Barber, Andrew Bray, P. Enevoldsen, Jason M. Fields, A. Sempreviva, Lindy Williams, J. Quick, M. Purdue, Philip Totaro, Yu-Shan Ding
{"title":"风能数字化面临的重大挑战","authors":"A. Clifton, S. Barber, Andrew Bray, P. Enevoldsen, Jason M. Fields, A. Sempreviva, Lindy Williams, J. Quick, M. Purdue, Philip Totaro, Yu-Shan Ding","doi":"10.5194/wes-8-947-2023","DOIUrl":null,"url":null,"abstract":"Abstract. The availability of large amounts of data is starting to impact how the\nwind energy community works. From turbine design to plant layout,\nconstruction, commissioning, and maintenance and operations, new\nprocesses and business models are springing up. This is the process of\ndigitalisation, and it promises improved efficiency and greater insight,\nultimately leading to increased energy capture and significant savings\nfor wind plant operators, thus reducing the levelised cost of energy.\nDigitalisation is also impacting research, where it is both easing and\nspeeding up collaboration, as well as making research results more\naccessible. This is the basis for innovations that can be taken up by\nend users. But digitalisation faces barriers. This paper uses a\nliterature survey and the results from an expert elicitation to identify\nthree common industry-wide barriers to the digitalisation of wind\nenergy. Comparison with other networked industries and past and ongoing\ninitiatives to foster digitalisation show that these barriers can only\nbe overcome by wide-reaching strategic efforts, and so we see these as\n“grand challenges” in the digitalisation of wind energy. They are,\nfirst, creating FAIR data frameworks; secondly, connecting people and data to foster innovation; and finally, enabling collaboration and competition between organisations. The grand challenges in the digitalisation of wind energy thus include a mix of technical, cultural, and business aspects that\nwill need collaboration between businesses, academia, and government to\nsolve. Working to mitigate them is the beginning of a dynamic process\nthat will position wind energy as an essential part of a global clean\nenergy future.\n","PeriodicalId":46540,"journal":{"name":"Wind Energy Science","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Grand challenges in the digitalisation of wind energy\",\"authors\":\"A. Clifton, S. Barber, Andrew Bray, P. Enevoldsen, Jason M. Fields, A. Sempreviva, Lindy Williams, J. Quick, M. Purdue, Philip Totaro, Yu-Shan Ding\",\"doi\":\"10.5194/wes-8-947-2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. The availability of large amounts of data is starting to impact how the\\nwind energy community works. From turbine design to plant layout,\\nconstruction, commissioning, and maintenance and operations, new\\nprocesses and business models are springing up. This is the process of\\ndigitalisation, and it promises improved efficiency and greater insight,\\nultimately leading to increased energy capture and significant savings\\nfor wind plant operators, thus reducing the levelised cost of energy.\\nDigitalisation is also impacting research, where it is both easing and\\nspeeding up collaboration, as well as making research results more\\naccessible. This is the basis for innovations that can be taken up by\\nend users. But digitalisation faces barriers. This paper uses a\\nliterature survey and the results from an expert elicitation to identify\\nthree common industry-wide barriers to the digitalisation of wind\\nenergy. Comparison with other networked industries and past and ongoing\\ninitiatives to foster digitalisation show that these barriers can only\\nbe overcome by wide-reaching strategic efforts, and so we see these as\\n“grand challenges” in the digitalisation of wind energy. They are,\\nfirst, creating FAIR data frameworks; secondly, connecting people and data to foster innovation; and finally, enabling collaboration and competition between organisations. The grand challenges in the digitalisation of wind energy thus include a mix of technical, cultural, and business aspects that\\nwill need collaboration between businesses, academia, and government to\\nsolve. Working to mitigate them is the beginning of a dynamic process\\nthat will position wind energy as an essential part of a global clean\\nenergy future.\\n\",\"PeriodicalId\":46540,\"journal\":{\"name\":\"Wind Energy Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2023-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wind Energy Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5194/wes-8-947-2023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wind Energy Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/wes-8-947-2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 7

摘要

摘要大量数据的可用性开始影响风能社区的工作方式。从涡轮机设计到工厂布局、施工、调试、维护和运营,新的流程和商业模式如雨后春笋般涌现。这是一个数字化的过程,它有望提高效率和洞察力,最终为风电场运营商带来更多的能源捕获和显著节约,从而降低能源的水平化成本。数字化也在影响研究,它既缓解了合作,又加快了合作速度,同时也使研究结果更容易获得。这是最终用户可以接受的创新的基础。但数字化面临障碍。本文利用一项环境调查和专家启发的结果,确定了风能数字化的三个常见行业障碍。与其他网络化行业以及过去和未来促进数字化的举措相比,这些障碍只有通过广泛的战略努力才能克服,因此我们认为这些是风能数字化的“重大挑战”。它们首先是创建FAIR数据框架;第二,将人与数据联系起来,促进创新;最后,促进组织之间的合作和竞争。因此,风能数字化的巨大挑战包括技术、文化和商业方面的混合,需要企业、学术界和政府之间的合作来解决。努力缓解这些问题是一个动态过程的开始,该过程将把风能定位为全球清洁能源未来的重要组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Grand challenges in the digitalisation of wind energy
Abstract. The availability of large amounts of data is starting to impact how the wind energy community works. From turbine design to plant layout, construction, commissioning, and maintenance and operations, new processes and business models are springing up. This is the process of digitalisation, and it promises improved efficiency and greater insight, ultimately leading to increased energy capture and significant savings for wind plant operators, thus reducing the levelised cost of energy. Digitalisation is also impacting research, where it is both easing and speeding up collaboration, as well as making research results more accessible. This is the basis for innovations that can be taken up by end users. But digitalisation faces barriers. This paper uses a literature survey and the results from an expert elicitation to identify three common industry-wide barriers to the digitalisation of wind energy. Comparison with other networked industries and past and ongoing initiatives to foster digitalisation show that these barriers can only be overcome by wide-reaching strategic efforts, and so we see these as “grand challenges” in the digitalisation of wind energy. They are, first, creating FAIR data frameworks; secondly, connecting people and data to foster innovation; and finally, enabling collaboration and competition between organisations. The grand challenges in the digitalisation of wind energy thus include a mix of technical, cultural, and business aspects that will need collaboration between businesses, academia, and government to solve. Working to mitigate them is the beginning of a dynamic process that will position wind energy as an essential part of a global clean energy future.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Wind Energy Science
Wind Energy Science GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
6.90
自引率
27.50%
发文量
115
审稿时长
28 weeks
期刊最新文献
Swinging motion of a kite with suspended control unit flying turning manoeuvres A sensitivity-based estimation method for investigating control co-design relevance An actuator sector model for wind power applications: a parametric study Experimental validation of a short-term damping estimation method for wind turbines in nonstationary operating conditions Quantifying the impact of modeling fidelity on different substructure concepts – Part 2: Code-to-code comparison in realistic environmental conditions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1